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Best A/B Testing Tools

Alanna Iwuh
A
Researched and written by Alanna Iwuh

A/B testing tools and software tests versions of webpages and digital experiences to promote the best outcomes. Marketers and web developers use A/B testing tools to deploy different versions of digital content, such as calls to action or images, and track which variation encourages more visitors to convert. Performance results can be combined with segmentation data (such as the visitor’s age, or whether they arrived via social media or search) to personalize experiences to each visitor. Marketers use these platforms to improve conversion rates and engage more of the visitors that interact with their brands online.

Testing and personalization platforms are deployed on top of web development infrastructure and web content management software, and they integrate with digital analytics software and heatmap tools to track visitor behavior.

To qualify for inclusion in the A/B Testing Tools category, a product must:

Conduct split-traffic experiments with defined, trackable goals to determine best performing web content
Deploy multiple versions of any web content in real time
Perform split-URL experiments
Adjust and manage traffic volume to experiment variations
Provide tools for both technical and non-technical users to perform tests

Best A/B Testing Tools At A Glance

Best for Small Businesses:
Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
Best Free Software:
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Best for Enterprise:
Highest User Satisfaction:
Best Free Software:

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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160 Listings in A/B Testing Available
(736)4.3 out of 5
15th Easiest To Use in A/B Testing software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Running an experimentation program is tricky. Whether your goal is to boost website conversion or improve user experience, there’s just so much you need to do to get things right. That’s why thousan

    Users
    • Product Manager
    • Digital Marketing Manager
    Industries
    • Computer Software
    • Marketing and Advertising
    Market Segment
    • 57% Mid-Market
    • 27% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • VWO Testing Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    128
    Customer Support
    115
    A/B Testing
    102
    Testing Efficiency
    92
    Helpful
    65
    Cons
    Limitations
    45
    Missing Features
    36
    Limited Features
    33
    Learning Curve
    32
    Difficult Learning
    27
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • VWO Testing features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.1
    8.2
    Reporting and Analytics
    Average: 8.5
    8.3
    Multivariate testing capacities
    Average: 8.6
    6.5
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2010
    HQ Location
    New Delhi
    Twitter
    @wingify
    7,522 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    384 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Running an experimentation program is tricky. Whether your goal is to boost website conversion or improve user experience, there’s just so much you need to do to get things right. That’s why thousan

Users
  • Product Manager
  • Digital Marketing Manager
Industries
  • Computer Software
  • Marketing and Advertising
Market Segment
  • 57% Mid-Market
  • 27% Small-Business
VWO Testing Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
128
Customer Support
115
A/B Testing
102
Testing Efficiency
92
Helpful
65
Cons
Limitations
45
Missing Features
36
Limited Features
33
Learning Curve
32
Difficult Learning
27
VWO Testing features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.1
8.2
Reporting and Analytics
Average: 8.5
8.3
Multivariate testing capacities
Average: 8.6
6.5
AI/Machine Learning
Average: 7.6
Seller Details
Company Website
Year Founded
2010
HQ Location
New Delhi
Twitter
@wingify
7,522 Twitter followers
LinkedIn® Page
www.linkedin.com
384 employees on LinkedIn®
(283)4.5 out of 5
Optimized for quick response
8th Easiest To Use in A/B Testing software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At AB Tasty, we’re your partner for pushing great ideas even further through optimization. We achieve this by empowering brands to build better experiences using personalization, experimentation, reco

    Users
    No information available
    Industries
    • Retail
    • Cosmetics
    Market Segment
    • 47% Mid-Market
    • 36% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AB Tasty Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    58
    Customer Support
    52
    Experience
    29
    Testing Efficiency
    26
    A/B Testing
    25
    Cons
    Learning Curve
    10
    Limitations
    9
    Testing Difficulties
    9
    Missing Features
    8
    Technical Issues
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AB Tasty features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.1
    7.9
    Reporting and Analytics
    Average: 8.5
    8.3
    Multivariate testing capacities
    Average: 8.6
    6.2
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    AB Tasty
    Company Website
    Year Founded
    2009
    HQ Location
    PARIS, France
    Twitter
    @ABTasty
    12,149 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    356 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At AB Tasty, we’re your partner for pushing great ideas even further through optimization. We achieve this by empowering brands to build better experiences using personalization, experimentation, reco

Users
No information available
Industries
  • Retail
  • Cosmetics
Market Segment
  • 47% Mid-Market
  • 36% Enterprise
AB Tasty Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
58
Customer Support
52
Experience
29
Testing Efficiency
26
A/B Testing
25
Cons
Learning Curve
10
Limitations
9
Testing Difficulties
9
Missing Features
8
Technical Issues
8
AB Tasty features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.1
7.9
Reporting and Analytics
Average: 8.5
8.3
Multivariate testing capacities
Average: 8.6
6.2
AI/Machine Learning
Average: 7.6
Seller Details
Seller
AB Tasty
Company Website
Year Founded
2009
HQ Location
PARIS, France
Twitter
@ABTasty
12,149 Twitter followers
LinkedIn® Page
www.linkedin.com
356 employees on LinkedIn®

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(645)4.6 out of 5
Optimized for quick response
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Bloomreach is a comprehensive commerce personalization solution designed to enhance the online shopping experience by leveraging real-time customer and product data. This platform enables businesses t

    Users
    • CRM Manager
    • Marketing Specialist
    Industries
    • Retail
    • Marketing and Advertising
    Market Segment
    • 49% Mid-Market
    • 28% Small-Business
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Bloomreach is a customer data platform that offers marketing automation features, customer data management, and website personalization tools.
    • Reviewers appreciate Bloomreach's ability to handle large volumes of data, its user-friendly interface, and the high-quality customer support that provides timely and knowledgeable assistance.
    • Users experienced a steep learning curve to fully leverage the platform's powerful features, occasional performance inconsistencies, and some found the initial setup and configuration to be complex and time-intensive.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Bloomreach Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    125
    Features
    116
    Customer Support
    96
    Helpful
    90
    Personalization
    65
    Cons
    Learning Curve
    80
    Limited Features
    58
    Missing Features
    53
    Learning Difficulty
    47
    Limitations
    46
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Bloomreach features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.1
    8.3
    Reporting and Analytics
    Average: 8.5
    8.2
    Multivariate testing capacities
    Average: 8.6
    6.9
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2009
    HQ Location
    Mountain View, CA
    Twitter
    @bloomreach_tm
    10,663 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,071 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Bloomreach is a comprehensive commerce personalization solution designed to enhance the online shopping experience by leveraging real-time customer and product data. This platform enables businesses t

Users
  • CRM Manager
  • Marketing Specialist
Industries
  • Retail
  • Marketing and Advertising
Market Segment
  • 49% Mid-Market
  • 28% Small-Business
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Bloomreach is a customer data platform that offers marketing automation features, customer data management, and website personalization tools.
  • Reviewers appreciate Bloomreach's ability to handle large volumes of data, its user-friendly interface, and the high-quality customer support that provides timely and knowledgeable assistance.
  • Users experienced a steep learning curve to fully leverage the platform's powerful features, occasional performance inconsistencies, and some found the initial setup and configuration to be complex and time-intensive.
Bloomreach Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
125
Features
116
Customer Support
96
Helpful
90
Personalization
65
Cons
Learning Curve
80
Limited Features
58
Missing Features
53
Learning Difficulty
47
Limitations
46
Bloomreach features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.1
8.3
Reporting and Analytics
Average: 8.5
8.2
Multivariate testing capacities
Average: 8.6
6.9
AI/Machine Learning
Average: 7.6
Seller Details
Company Website
Year Founded
2009
HQ Location
Mountain View, CA
Twitter
@bloomreach_tm
10,663 Twitter followers
LinkedIn® Page
www.linkedin.com
1,071 employees on LinkedIn®
(422)4.5 out of 5
Optimized for quick response
1st Easiest To Use in A/B Testing software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With over 25+ years of experience and a global presence across Asia, Europe, and the USA, Netcore Cloud is an AI-powered platform designed to transform customer experience and personalization in the w

    Users
    • Marketing Manager
    • Digital Marketing Manager
    Industries
    • Financial Services
    • Banking
    Market Segment
    • 49% Mid-Market
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Netcore Customer Engagement and Experience Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    189
    Customer Support
    132
    Helpful
    128
    Customer Engagement
    120
    Engagement
    118
    Cons
    Missing Features
    51
    Poor Customer Support
    39
    Limitations
    38
    Learning Curve
    36
    Delays
    35
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Netcore Customer Engagement and Experience Platform features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.1
    8.7
    Reporting and Analytics
    Average: 8.5
    8.4
    Multivariate testing capacities
    Average: 8.6
    8.0
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1998
    HQ Location
    Mumbai, Maharashtra
    Twitter
    @netcore_cloud
    1,854 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,199 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

With over 25+ years of experience and a global presence across Asia, Europe, and the USA, Netcore Cloud is an AI-powered platform designed to transform customer experience and personalization in the w

Users
  • Marketing Manager
  • Digital Marketing Manager
Industries
  • Financial Services
  • Banking
Market Segment
  • 49% Mid-Market
  • 35% Enterprise
Netcore Customer Engagement and Experience Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
189
Customer Support
132
Helpful
128
Customer Engagement
120
Engagement
118
Cons
Missing Features
51
Poor Customer Support
39
Limitations
38
Learning Curve
36
Delays
35
Netcore Customer Engagement and Experience Platform features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.1
8.7
Reporting and Analytics
Average: 8.5
8.4
Multivariate testing capacities
Average: 8.6
8.0
AI/Machine Learning
Average: 7.6
Seller Details
Company Website
Year Founded
1998
HQ Location
Mumbai, Maharashtra
Twitter
@netcore_cloud
1,854 Twitter followers
LinkedIn® Page
www.linkedin.com
1,199 employees on LinkedIn®
(494)4.5 out of 5
Optimized for quick response
2nd Easiest To Use in A/B Testing software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    LaunchDarkly is a comprehensive feature management platform that equips software teams to proactively reduce the risk of shipping bad software and AI applications while accelerating their release velo

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Mid-Market
    • 43% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • LaunchDarkly Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    252
    Feature Flags
    238
    Features
    109
    Easy Setup
    79
    Integrations
    73
    Cons
    Feature Flags Issues
    79
    Feature Flags Management
    66
    Poor UI
    49
    Complex Features
    48
    Confusing Interface
    46
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • LaunchDarkly features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 9.1
    7.2
    Reporting and Analytics
    Average: 8.5
    8.3
    Multivariate testing capacities
    Average: 8.6
    6.1
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2014
    HQ Location
    Oakland, CA
    Twitter
    @LaunchDarkly
    5,317 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    506 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

LaunchDarkly is a comprehensive feature management platform that equips software teams to proactively reduce the risk of shipping bad software and AI applications while accelerating their release velo

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Mid-Market
  • 43% Enterprise
LaunchDarkly Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
252
Feature Flags
238
Features
109
Easy Setup
79
Integrations
73
Cons
Feature Flags Issues
79
Feature Flags Management
66
Poor UI
49
Complex Features
48
Confusing Interface
46
LaunchDarkly features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 9.1
7.2
Reporting and Analytics
Average: 8.5
8.3
Multivariate testing capacities
Average: 8.6
6.1
AI/Machine Learning
Average: 7.6
Seller Details
Company Website
Year Founded
2014
HQ Location
Oakland, CA
Twitter
@LaunchDarkly
5,317 Twitter followers
LinkedIn® Page
www.linkedin.com
506 employees on LinkedIn®
(504)4.5 out of 5
Optimized for quick response
4th Easiest To Use in A/B Testing software
View top Consulting Services for MoEngage
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Entry Level Price:Free Upto 10,000 Month...
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MoEngage is a cross-channel customer engagement platform built for marketers and product owners who value agility over cumbersome complexity. We help consumer brands adapt quickly to evolving customer

    Users
    • Digital Marketing Manager
    • Product Manager
    Industries
    • Financial Services
    • Online Media
    Market Segment
    • 55% Mid-Market
    • 24% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MoEngage Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    124
    Features
    81
    Analytics
    72
    Customer Support
    68
    Helpful
    61
    Cons
    Missing Features
    45
    Expensive
    29
    Limited Features
    29
    Learning Curve
    28
    Complexity
    23
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MoEngage features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.1
    8.9
    Reporting and Analytics
    Average: 8.5
    8.6
    Multivariate testing capacities
    Average: 8.6
    8.4
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MoEngage
    Company Website
    Year Founded
    2014
    HQ Location
    San Francisco, California
    Twitter
    @moengage
    2,483 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    845 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MoEngage is a cross-channel customer engagement platform built for marketers and product owners who value agility over cumbersome complexity. We help consumer brands adapt quickly to evolving customer

Users
  • Digital Marketing Manager
  • Product Manager
Industries
  • Financial Services
  • Online Media
Market Segment
  • 55% Mid-Market
  • 24% Small-Business
MoEngage Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
124
Features
81
Analytics
72
Customer Support
68
Helpful
61
Cons
Missing Features
45
Expensive
29
Limited Features
29
Learning Curve
28
Complexity
23
MoEngage features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.1
8.9
Reporting and Analytics
Average: 8.5
8.6
Multivariate testing capacities
Average: 8.6
8.4
AI/Machine Learning
Average: 7.6
Seller Details
Seller
MoEngage
Company Website
Year Founded
2014
HQ Location
San Francisco, California
Twitter
@moengage
2,483 Twitter followers
LinkedIn® Page
www.linkedin.com
845 employees on LinkedIn®
(156)4.5 out of 5
13th Easiest To Use in A/B Testing software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dynamic Yield, a Mastercard company, helps businesses across industries deliver digital customer experiences that are personalized, optimized, and synchronized. With Dynamic Yield, marketers, product

    Users
    • Product Manager
    Industries
    • Retail
    • Apparel & Fashion
    Market Segment
    • 56% Mid-Market
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dynamic Yield Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    31
    Ease of Use
    31
    Personalization
    25
    Experience
    24
    Helpful
    18
    Cons
    Missing Features
    10
    Limitations
    9
    Inadequate Reporting
    6
    Campaign Management
    5
    Campaign Management Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dynamic Yield features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.1
    8.0
    Reporting and Analytics
    Average: 8.5
    8.7
    Multivariate testing capacities
    Average: 8.6
    8.0
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    New York, NY
    Twitter
    @DynamicYield
    2,003 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    590 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dynamic Yield, a Mastercard company, helps businesses across industries deliver digital customer experiences that are personalized, optimized, and synchronized. With Dynamic Yield, marketers, product

Users
  • Product Manager
Industries
  • Retail
  • Apparel & Fashion
Market Segment
  • 56% Mid-Market
  • 29% Enterprise
Dynamic Yield Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
31
Ease of Use
31
Personalization
25
Experience
24
Helpful
18
Cons
Missing Features
10
Limitations
9
Inadequate Reporting
6
Campaign Management
5
Campaign Management Issues
5
Dynamic Yield features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.1
8.0
Reporting and Analytics
Average: 8.5
8.7
Multivariate testing capacities
Average: 8.6
8.0
AI/Machine Learning
Average: 7.6
Seller Details
Year Founded
2011
HQ Location
New York, NY
Twitter
@DynamicYield
2,003 Twitter followers
LinkedIn® Page
www.linkedin.com
590 employees on LinkedIn®
(27)4.6 out of 5
Optimized for quick response
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AppMetrica is an affordable and reliable (yes, it is possible) all-in-one mobile app analytics tool that provides a comprehensive analysis of your mobile app user behavior, in-app revenue, mobile acqu

    Users
    No information available
    Industries
    • Computer Games
    • Information Technology and Services
    Market Segment
    • 56% Small-Business
    • 41% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AppMetrica Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    18
    Analytics
    17
    Easy Integrations
    9
    Reporting
    9
    Data Management
    8
    Cons
    Inadequate Reporting
    5
    Limitations
    4
    Missing Features
    4
    Reporting Issues
    4
    Dashboard Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AppMetrica features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.1
    9.7
    Reporting and Analytics
    Average: 8.5
    9.7
    Multivariate testing capacities
    Average: 8.6
    9.3
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2004
    HQ Location
    Dubai
    LinkedIn® Page
    www.linkedin.com
    53 employees on LinkedIn®
    Ownership
    AppMetrica
Product Description
How are these determined?Information
This description is provided by the seller.

AppMetrica is an affordable and reliable (yes, it is possible) all-in-one mobile app analytics tool that provides a comprehensive analysis of your mobile app user behavior, in-app revenue, mobile acqu

Users
No information available
Industries
  • Computer Games
  • Information Technology and Services
Market Segment
  • 56% Small-Business
  • 41% Mid-Market
AppMetrica Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
18
Analytics
17
Easy Integrations
9
Reporting
9
Data Management
8
Cons
Inadequate Reporting
5
Limitations
4
Missing Features
4
Reporting Issues
4
Dashboard Issues
3
AppMetrica features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.1
9.7
Reporting and Analytics
Average: 8.5
9.7
Multivariate testing capacities
Average: 8.6
9.3
AI/Machine Learning
Average: 7.6
Seller Details
Company Website
Year Founded
2004
HQ Location
Dubai
LinkedIn® Page
www.linkedin.com
53 employees on LinkedIn®
Ownership
AppMetrica
(686)4.4 out of 5
7th Easiest To Use in A/B Testing software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    PostHog is the open-source, all-in-one platform that helps engineers build better products. We enable software teams to capture events, perform analytics, record user sessions, conduct experiments a

    Users
    • Software Engineer
    • CTO
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 78% Small-Business
    • 20% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • PostHog Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    244
    Easy Setup
    171
    Analytics
    126
    Insights
    121
    Session Recordings
    101
    Cons
    Learning Curve
    70
    Missing Features
    67
    Not Intuitive
    54
    Steep Learning Curve
    49
    Limited Features
    48
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • PostHog features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.1
    8.5
    Reporting and Analytics
    Average: 8.5
    8.2
    Multivariate testing capacities
    Average: 8.6
    7.0
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    PostHog
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @posthog
    12,604 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    60 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

PostHog is the open-source, all-in-one platform that helps engineers build better products. We enable software teams to capture events, perform analytics, record user sessions, conduct experiments a

Users
  • Software Engineer
  • CTO
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 78% Small-Business
  • 20% Mid-Market
PostHog Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
244
Easy Setup
171
Analytics
126
Insights
121
Session Recordings
101
Cons
Learning Curve
70
Missing Features
67
Not Intuitive
54
Steep Learning Curve
49
Limited Features
48
PostHog features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.1
8.5
Reporting and Analytics
Average: 8.5
8.2
Multivariate testing capacities
Average: 8.6
7.0
AI/Machine Learning
Average: 7.6
Seller Details
Seller
PostHog
Company Website
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@posthog
12,604 Twitter followers
LinkedIn® Page
www.linkedin.com
60 employees on LinkedIn®
(109)4.7 out of 5
3rd Easiest To Use in A/B Testing software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Statsig is a complete platform for product growth, with 4 major products: experimentation, feature flagging, product analytics, and session session replays. All of Statsig's products are powered b

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 45% Mid-Market
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Statsig Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    47
    Features
    42
    Experimentation
    38
    Analytics
    32
    Easy Setup
    28
    Cons
    Missing Features
    22
    Learning Curve
    16
    Steep Learning Curve
    13
    Limited Features
    11
    Data Inaccuracy
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Statsig features and usability ratings that predict user satisfaction
    9.7
    Has the product been a good partner in doing business?
    Average: 9.1
    8.7
    Reporting and Analytics
    Average: 8.5
    8.9
    Multivariate testing capacities
    Average: 8.6
    6.3
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Statsig
    Company Website
    Year Founded
    2021
    HQ Location
    Bellevue, US
    LinkedIn® Page
    www.linkedin.com
    97 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Statsig is a complete platform for product growth, with 4 major products: experimentation, feature flagging, product analytics, and session session replays. All of Statsig's products are powered b

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 45% Mid-Market
  • 34% Small-Business
Statsig Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
47
Features
42
Experimentation
38
Analytics
32
Easy Setup
28
Cons
Missing Features
22
Learning Curve
16
Steep Learning Curve
13
Limited Features
11
Data Inaccuracy
10
Statsig features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 9.1
8.7
Reporting and Analytics
Average: 8.5
8.9
Multivariate testing capacities
Average: 8.6
6.3
AI/Machine Learning
Average: 7.6
Seller Details
Seller
Statsig
Company Website
Year Founded
2021
HQ Location
Bellevue, US
LinkedIn® Page
www.linkedin.com
97 employees on LinkedIn®
(145)4.7 out of 5
10th Easiest To Use in A/B Testing software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Split was recently acquired by Harness® to bring teams the most robust feature management and experimentation solution on the market. Set up feature flags and safely deploy to production, controllin

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 43% Mid-Market
    • 37% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Split by Harness Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    28
    Features
    24
    Feature Flags
    16
    Easy Setup
    13
    Easy Integrations
    10
    Cons
    Feature Flags Issues
    9
    Missing Features
    8
    Limitations
    7
    Limited Features
    6
    Complexity
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Split by Harness features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.1
    8.1
    Reporting and Analytics
    Average: 8.5
    8.8
    Multivariate testing capacities
    Average: 8.6
    6.6
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2015
    HQ Location
    Redwood City, California
    Twitter
    @SplitSoftware
    1,537 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    67 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Split was recently acquired by Harness® to bring teams the most robust feature management and experimentation solution on the market. Set up feature flags and safely deploy to production, controllin

Users
  • Software Engineer
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 43% Mid-Market
  • 37% Enterprise
Split by Harness Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
28
Features
24
Feature Flags
16
Easy Setup
13
Easy Integrations
10
Cons
Feature Flags Issues
9
Missing Features
8
Limitations
7
Limited Features
6
Complexity
5
Split by Harness features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.1
8.1
Reporting and Analytics
Average: 8.5
8.8
Multivariate testing capacities
Average: 8.6
6.6
AI/Machine Learning
Average: 7.6
Seller Details
Year Founded
2015
HQ Location
Redwood City, California
Twitter
@SplitSoftware
1,537 Twitter followers
LinkedIn® Page
www.linkedin.com
67 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    We help eCommerce businesses grow sales through deep customer understanding and seamless multi-channel interactions. Our approach collects real-time data on transactions, preferences, and website beha

    Users
    • Marketing Automation Specialist
    • Marketing Manager
    Industries
    • Marketing and Advertising
    • Retail
    Market Segment
    • 57% Small-Business
    • 35% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Sales Manago is a marketing automation platform that combines multiple marketing solutions such as email marketing, website personalization, mobile marketing, automation processes, and social media integration.
    • Users frequently mention the platform's outstanding customer support, its ability to handle a massive amount of contacts, its advanced segmentation options, and its detailed reporting capabilities.
    • Users mentioned that the design is not always intuitive, it can take some time to fully master all of its features, and there are too many options which can be overwhelming.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SALESmanago Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    35
    Ease of Use
    33
    Features
    29
    Customer Service
    25
    Automation
    23
    Cons
    Learning Curve
    16
    Complexity
    8
    Not Intuitive
    7
    Complex Usage
    6
    Steep Learning Curve
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SALESmanago features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.1
    8.2
    Reporting and Analytics
    Average: 8.5
    7.6
    Multivariate testing capacities
    Average: 8.6
    7.1
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    Krakow
    Twitter
    @SALESmanago
    3,751 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    363 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

We help eCommerce businesses grow sales through deep customer understanding and seamless multi-channel interactions. Our approach collects real-time data on transactions, preferences, and website beha

Users
  • Marketing Automation Specialist
  • Marketing Manager
Industries
  • Marketing and Advertising
  • Retail
Market Segment
  • 57% Small-Business
  • 35% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Sales Manago is a marketing automation platform that combines multiple marketing solutions such as email marketing, website personalization, mobile marketing, automation processes, and social media integration.
  • Users frequently mention the platform's outstanding customer support, its ability to handle a massive amount of contacts, its advanced segmentation options, and its detailed reporting capabilities.
  • Users mentioned that the design is not always intuitive, it can take some time to fully master all of its features, and there are too many options which can be overwhelming.
SALESmanago Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
35
Ease of Use
33
Features
29
Customer Service
25
Automation
23
Cons
Learning Curve
16
Complexity
8
Not Intuitive
7
Complex Usage
6
Steep Learning Curve
6
SALESmanago features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.1
8.2
Reporting and Analytics
Average: 8.5
7.6
Multivariate testing capacities
Average: 8.6
7.1
AI/Machine Learning
Average: 7.6
Seller Details
Year Founded
2011
HQ Location
Krakow
Twitter
@SALESmanago
3,751 Twitter followers
LinkedIn® Page
www.linkedin.com
363 employees on LinkedIn®
(404)4.5 out of 5
Optimized for quick response
View top Consulting Services for Algolia
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Algolia is the world’s only end-to-end AI search and discovery platform. Our engineers invented a breakthrough use of AI to create exponentially better search & discovery. Our proprietary NeuralSe

    Users
    • CTO
    • Software Engineer
    Industries
    • Computer Software
    • Retail
    Market Segment
    • 59% Small-Business
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Algolia Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    50
    Search Efficiency
    28
    Speed
    22
    Efficiency
    20
    Customer Support
    18
    Cons
    Limitations
    17
    Expensive
    12
    Feature Deficiency
    11
    Complex Features
    10
    High Learning Curve
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Algolia features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.1
    8.2
    Reporting and Analytics
    Average: 8.5
    8.0
    Multivariate testing capacities
    Average: 8.6
    7.4
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @algolia
    25,578 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    818 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Algolia is the world’s only end-to-end AI search and discovery platform. Our engineers invented a breakthrough use of AI to create exponentially better search & discovery. Our proprietary NeuralSe

Users
  • CTO
  • Software Engineer
Industries
  • Computer Software
  • Retail
Market Segment
  • 59% Small-Business
  • 28% Mid-Market
Algolia Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
50
Search Efficiency
28
Speed
22
Efficiency
20
Customer Support
18
Cons
Limitations
17
Expensive
12
Feature Deficiency
11
Complex Features
10
High Learning Curve
10
Algolia features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.1
8.2
Reporting and Analytics
Average: 8.5
8.0
Multivariate testing capacities
Average: 8.6
7.4
AI/Machine Learning
Average: 7.6
Seller Details
Company Website
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@algolia
25,578 Twitter followers
LinkedIn® Page
www.linkedin.com
818 employees on LinkedIn®
(362)4.2 out of 5
Optimized for quick response
View top Consulting Services for Optimizely Web Experimentation
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Optimizely Web Experimentation empowers marketers to conduct fast experiments and personalization campaigns without relying heavily on technical resources. Marketers can test various user interactions

    Users
    • Software Engineer
    • Product Manager
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 47% Mid-Market
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Optimizely Web Experimentation Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    171
    User Interface
    75
    Easy Setup
    51
    Analytics Expertise
    38
    Intuitive
    36
    Cons
    Learning Curve
    39
    Expensive
    27
    Bugs
    23
    Slow Performance
    20
    Poor Support
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Optimizely Web Experimentation features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 9.1
    8.2
    Reporting and Analytics
    Average: 8.5
    8.2
    Multivariate testing capacities
    Average: 8.6
    6.7
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2010
    HQ Location
    New York
    Twitter
    @Optimizely
    29,409 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,521 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Optimizely Web Experimentation empowers marketers to conduct fast experiments and personalization campaigns without relying heavily on technical resources. Marketers can test various user interactions

Users
  • Software Engineer
  • Product Manager
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 47% Mid-Market
  • 29% Enterprise
Optimizely Web Experimentation Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
171
User Interface
75
Easy Setup
51
Analytics Expertise
38
Intuitive
36
Cons
Learning Curve
39
Expensive
27
Bugs
23
Slow Performance
20
Poor Support
17
Optimizely Web Experimentation features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 9.1
8.2
Reporting and Analytics
Average: 8.5
8.2
Multivariate testing capacities
Average: 8.6
6.7
AI/Machine Learning
Average: 7.6
Seller Details
Company Website
Year Founded
2010
HQ Location
New York
Twitter
@Optimizely
29,409 Twitter followers
LinkedIn® Page
www.linkedin.com
1,521 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kameleoon enables brands to enhance their products and digital interactions, providing a unique optimization solution that combines Web Experimentation, Feature Experimentation, and AI-Driven Personal

    Users
    No information available
    Industries
    • Automotive
    • Consumer Goods
    Market Segment
    • 57% Mid-Market
    • 22% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kameleoon Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    A/B Testing
    9
    Customer Support
    9
    Ease of Use
    6
    Easy Setup
    5
    Helpful
    5
    Cons
    Learning Curve
    3
    Missing Features
    3
    Coding Difficulty
    2
    Complexity
    2
    Developer Dependency
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kameleoon features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.1
    8.1
    Reporting and Analytics
    Average: 8.5
    8.7
    Multivariate testing capacities
    Average: 8.6
    7.8
    AI/Machine Learning
    Average: 7.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kameleoon
    Company Website
    Year Founded
    2012
    HQ Location
    Paris
    Twitter
    @kameleoonrocks
    3,240 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    211 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kameleoon enables brands to enhance their products and digital interactions, providing a unique optimization solution that combines Web Experimentation, Feature Experimentation, and AI-Driven Personal

Users
No information available
Industries
  • Automotive
  • Consumer Goods
Market Segment
  • 57% Mid-Market
  • 22% Enterprise
Kameleoon Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
A/B Testing
9
Customer Support
9
Ease of Use
6
Easy Setup
5
Helpful
5
Cons
Learning Curve
3
Missing Features
3
Coding Difficulty
2
Complexity
2
Developer Dependency
2
Kameleoon features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.1
8.1
Reporting and Analytics
Average: 8.5
8.7
Multivariate testing capacities
Average: 8.6
7.8
AI/Machine Learning
Average: 7.6
Seller Details
Seller
Kameleoon
Company Website
Year Founded
2012
HQ Location
Paris
Twitter
@kameleoonrocks
3,240 Twitter followers
LinkedIn® Page
www.linkedin.com
211 employees on LinkedIn®

Learn More About A/B Testing Tools

What are A/B Testing Tools?

A/B testing tools measure how customers interact with a brand’s digital creative content. Through conducting tests on customer interaction, companies can extract real data and metrics to optimize products.

A/B testing tools allow marketers, advertisers, and web developers to test different versions of digital content to find the customer-preferred digital experience and personalization for various personas. Website visitors subconsciously react to every element on a web page—such as the color and aggressiveness of a live chat pop-up, the phrasing of a call-to-action (CTA) button, or the positioning of the search bar. A/B testing solutions give web content creators the tools to deploy the tests, determine the target audience, and analyze the experiment results. These tools are used to improve conversion rate and bounce rates, as well as the overall success of a website.

The main way that digital creativity is tested is through a rotating A/B test. This is done by using two iterations of a design and seeing which one gets the highest click-through rate. A company can conduct a test with version A for 500 users from the target audience and then another test on version B for 500 users with a completely different variant. The company can then see which one gets the highest click-through rate and, ultimately, determine which variant should be used.

A/B testing can offer the following use cases to improve a company’s performance:

  • Create the most successful version of the e-commerce site, especially the home page and calls-to-action (CTA)
  • Increase website traffic and reduce bounce rates
  • Gain insight into user behavior
  • Analyze any and all test segments to discover key opportunities
  • Increase conversion rates and e-commerce profits
  • Tailor e-commerce content and goals through continuous testing
  • Determine the consumer impact of differing designs and formats on website optimization

What Types of A/B Testing Tools Exist?

Proprietary A/B testing

Proprietary solutions will require time and resources but will adapt to very specific case studies and customizations. Proprietary products also provide customer support and streamline the process of setting up, tracking, and analyzing tests.

Open-source A/B testing

Open-source solutions come with a very small price tag (if any at all). While open-source software doesn’t offer the same kinds of reports and finetuned features as proprietary solutions, it gives access to an entire community of programmers and developers with bountiful testing experience.

What are the Common Features of A/B Testing Tools?

A/B/n testing: This type of split testing takes A/B testing to the next level by analyzing multiple versions of a creative product, one variable at a time. This allows a company to determine the best variation across a multitude of tests that measure KPIs on several iterations. The analytics tools used for a simple A/B test will also measure the same KPIs for the multiple variations.

Multivariate testing: Multivariate testing uses the same methods as A/B testing, but instead of testing only two variables, it tests a higher number. This is essentially like having two tests combined into one. This is a way to conduct test combinations. For example, one multivariate test can test whether the combination of a blue header and white text works better than a red header with grey text. Then, it can test what happens when the combination is flipped—whether a blue header would work better with grey text or a red header would work better with white text. A successfully performed multivariate test would then show which combination had the highest click-through rate. The major benefit of multivariate testing is saving time and ensuring that the best combination with the highest conversion rate is being presented on the website.

Multipage funnel testing: Multipage funnel testing is a way to test variations of several consecutive website pages. This is a great way to see if customers are finding what they’re looking for in the quickest way possible. The use case of multipage funnel testing can be easily applicable to retail, e-commerce, and any other website where the company is selling a product. This can test how quickly a user went through the buyer funnel from initial interest all the way to the final goal of purchasing the product. A multipage funnel test can help test the most effective way to convert customer interest into a customer purchase.

Audience targeting: Audience targeting provides the ability to choose where the test will run and for whom. A/B test can be conducted to see which visitor conditions to show the experiment to and which specific URLs the experiment should run on the site. To increase engagement from mobile users who are using Google Chrome, audience targeting can conduct the A/B test on these specific users. This helps increase engagement with a particular audience.

Funnel analysis: Funnel analysis allows companies to analyze the data in the buyer's journey and make necessary changes to facilitate conversion rate optimization. A/B test with funnel analysis helps understand if things such as registration pages or website subscription options are driving more people to convert or if they’re turning customers away. This allows the tester to see if they need to make adjustments to certain stages to increase engagement.

Heat maps: Heat maps are a very effective tool for visualizing which links users click on when they visit a website. Heat maps applied to an A/B test will show certain links on a webpage in either blue, yellow, or red to indicate how often those links are clicked. This way, testers can analyze how to effectively set up a page and ensure that the most important links are in spots that are being clicked on the most.

Surveys: A valuable feature in A/B testing software is surveys. This enables companies to directly ask users which type of variant they prefer through a variety of different questions. The data from the survey can then be translated into graphs or charts, which makes it easier for the tester to visualize the results. This can help companies target which specific variants are working well and which variants are failing. It also may give companies more detail on where to head in order to improve their designs by asking questions that make users explain in detail rather than asking simple yes or no questions.

Statistical relevance analysis: Statistical relevance analysis helps confirm if an A/B test has a large enough sample size. Users can track their data in real time and see if the test needs more time or if there’s enough traffic to confirm that one variant performed better than another. This helps users stop the test and not use more time on it than needed. Achieving the right sample size ensures the statistical significance of test results is achieved during the testing process.

Test scheduling: A/B testing platforms allow users to schedule tests in advance to ensure that they are conducted during a time when the website is expected to get a lot of traffic.

What are the Benefits of A/B Testing Tools?

A/B testing software is an essential tool for optimization and growth. The best way to improve a product's performance is by continuously conducting new trials to see what works and what doesn't. The following are reasons why vendors benefit from using these tools.

Higher conversion rates: Companies can conduct a test to see what will produce the best conversion rate. Rotating A/B tests can give content creators an accurate representation of how quickly users can find what they’re looking for on a website. This can lead to customers purchasing more quickly or subscribing to newsletters more frequently, leading to greater conversions and higher revenue for the company.

Real-time testing: A/B testing can save companies plenty of time by testing variations in real time. Instead of having to pull people aside to conduct trials, rotating tests are conducted on users who are currently visiting the website.

Genuine testing: Another major benefit of A/B testing is genuine testing. Tests are conducted on actual visitors who are coming to the website, which means that the results are not skewed by incentives or preconceived knowledge within a trial. Since the testing is done on completely random visitors, the company will get the most accurate picture of how customers are behaving in real time.

Reduced bounce rate: One of the main goals of A/B testing tools is to test ways to keep people on a website for as long as possible. This can be done by incorporating different page layouts, links that lead back to the website, and CTA buttons. High bounce rates are the main reason for low conversion rates, so testing ways to reduce the bounce rate of a landing page is a critical way to keep customers engaged.

Who Uses A/B Testing Tools?

While A/B testing tools and personalization software generally integrate with systems that work on both the front end and back end of websites, the software isn’t just for technical website developers who specialize in coding. Users with varying skill sets can use the software to enhance their currently existing websites. Appropriately, A/B testing software vendors clearly advertise either their ease of use (embedding just one line of code) or the flexibility with which their tests can be conducted (conducting split-level experiments). Here are some ways various team members can use these tools to enhance performance:

Digital marketing teams: Digital marketing teams can utilize A/B testing software in a variety of ways. They can measure the efficacy of CTAs, headlines, images, and copy to see which variations will have higher click-through rates with users. In addition, they can measure the frequency of cart abandonment to test how likely a customer is to convert into a sale.

Design teams: Perfecting the design of a website is an ongoing process. Design teams can utilize A/B testing to optimize a website’s performance and quality of the user experience by making sure visitors are staying on for an ample amount of time. They can do this by testing how quickly people find what they’re looking for, where to place links on a page to get the most clicks, and other web layout adjustments in order to increase customer engagement. 

Research and development teams: Research teams that focus on optimizing website performance can use surveys within A/B testing tools to see which variants appeal to more users. They can ask about customer desires, demographics, and any other details that they can extract to improve their product and website.

Software Related to A/B Testing Tools

A/B testing can be supplemented with a wide variety of other software that also test for conversion rates and lead generation:

Email marketing software: Email marketing software includes A/B testing features, which can be used to test which of two email campaign options will be more successful. During this process, two variations of an email campaign are sent out to two different pools of recipients. Whichever pool has the higher click rate on the email campaign will indicate which one will be more successful. The results can indicate the open rate, click-through rate, and the number of subscribers that were influenced by the email campaign. This is a great tool to guarantee that the marketing campaign is effective and that it will generate more revenue and happier customers.

Web content management software: Web content management (WCM) systems allow users to create, edit, and publish digital content such as text, embedded audio and video files, and interactive graphics for websites. WCM tools offer an assortment of templated web pages, from which site administrators can browse and choose. Since the main goal of web content management is to maximize customer engagement, it is a great software to integrate with A/B testing. A/B tests can be conducted on certain web content and provide higher conversion rates.

Digital analytics software: Digital analytics software tracks website visitors and measures web traffic. Marketers, web developers, and analysts use digital analytics suites to report on the effectiveness and popularity of web experiences and to determine how visitors are finding and interacting with their sites. Digital analytics supplement A/B testing by showing companies which areas need improvement on their website. This can indicate what areas need help from a test to determine what will improve customer engagement.

Heatmap tools: Marketers and web developers use heat maps and in-page analytics to visualize where on a web page visitors click, hover, and scroll. Heat maps can be integrated with A/B testing software to effectively set up a page and ensure that the most important links are in spots that are being clicked on the most.

Challenges with A/B Testing Tools

Ensuring random testing: It is difficult to ensure that a test is truly random. For example, if a company wanted to conduct an A/B test on page traffic on any random day, it might be difficult to assess whether visitors were less likely to come on that day. If the weather was nice or it was too close to the holidays, people might be less likely to be on their computers, which can skew the test's results.

Testing too many variables: Product teams are constantly trying to reimagine product pages with new designs to increase sales. However, overtesting can be a problem, especially when users are more familiar with one design over another. This can lead product teams to be overfocused on certain website designs that will most likely not have an effect on the user. The best way to avoid this issue is to focus on major design changes, such as page layouts, rather than the font size of certain words.

Small sample sizes: Often, A/B tests are conducted on too small a sample. This means that there is not enough data to confidently say that a variation is more successful than another variation because not enough people were tested. The best way to avoid this issue is to conduct a test that is concluded when the test reaches 95% confidence. While this may take some time, it can ensure that it was conducted effectively.

How to Buy A/B Testing Tools and Software

Requirements Gathering (RFI/RFP) for A/B Testing Tools

When searching for the right A/B testing tool, it’s important to create a long list based on products that contain some of the most necessary features for an effective experiment. After the available pool has been segmented based on crucial features, one can then sort based on nice-to-haves, bells and whistles, and industry-specific software requirements.

Compare A/B Testing Software Products

Create a long list

In order to create a long list, buyers must ensure the products being considered meet these core criteria:

  • The software is compatible with one’s technology and computer programs
  • Cloud storage is available for experimental data
  • The software offers the scalability needed to perform experiments with a certain n-size
  • Cost aligns with budget


Create a short list

Once a long list based on core features is created, a short list should be further narrowed based on nice-to-haves and bells and whistles: 

  • What you see is what you get (WYSIWYG) editing
  • Little to no coding options for businesses that don’t have employees with a computer science background
  • Multivariate testing capacities should experiment with more than one variable need to be tested simultaneously
  • Mobile app testing capabilities if a business has mobile content

Conduct demos

Buyers must schedule calls with the vendors on the short list to ensure their product is the right fit. The most foolproof way to make the right decision is to actually test out the software. It is important to ask vendors about how their product addresses the business’ most pressing needs.

Selection of A/B Testing Tools

Choose a selection team

The selection team should include the CEO and other executives from finance, marketing, and IT. The CEO will be there to represent the whole company and its business objectives. Finance will be able to represent the company and IT will determine if the product fits well into existing tech stacks and company technology. Most importantly, representatives from marketing will be able to speak fluently on the goals of A/B testing and company needs with software, since the marketing team will be the end user for these tools.

Negotiation

A/B testing software vendors will be bringing their strongest team to seal the deal with a potential client. Therefore, it’s important to come to the negotiation process with questions on certain key features one needs. These include (but are not limited to) multivariate testing and WYSIWYG capabilities, how much coding experience is needed to use the interface, and AI or machine learning. Buyers must ask questions about the total costs and fees associated with purchasing, implementing, and using the product. In order to prevent surprises later, it is crucial to ensure the terms and conditions are read in full and discussed. 

Final decision

It could be useful to create a scoring template that measures the various features mentioned in the long and short list, as well as notes from calls between the client and vendor.